A LIBS all-optical rapid detection device

Abstract

The present invention discloses a LIBS all-optical rapid detection device, which relates to the technical field of detection devices. The device comprises a column, a detection head is mounted on the top surface of the column, a mounting box is provided on the top of the detection head, and a laser emission module and a signal receiving module are provided in the mounting box. The laser emission module comprises a pulse laser arranged in the mounting box via a bracket, a focusing lens arranged at the emission port of the pulse laser, and a second prism arranged in the mounting box. A circular hole matching the detection head is provided on the bottom surface of the mounting box, and a first prism is provided above the circular hole. The present invention facilitates the emission of a high-power-density laser beam through the use of the laser emission module, causing a small amount of material on the surface of a sample to instantly undergo processes such as ablation, dissociation, atomization and ionization to form plasma. The light radiation is then collected by the signal receiving module and analyzed by a spectrometer to determine the chemical composition and content of the sample based on the spectral characteristics.

Description

Technical Field

[0001] The present invention relates to the technical field of detection devices, and in particular to a LIBS all-optical rapid detection device. Background Art

[0002] Accurately determining the chemical composition and content of samples is crucial in numerous fields, including materials analysis, environmental monitoring, and cultural relic identification. Traditional chemical analysis methods, such as wet chemical analysis, while offering certain advantages in precision, also have numerous limitations. These methods require complex sample pretreatment processes, including dissolution, separation, and enrichment. These processes are not only cumbersome and time-consuming, but can also easily introduce impurities, affecting the accuracy of test results. Furthermore, these methods often consume large amounts of chemical reagents, causing significant environmental pollution.

[0003] While some existing detection technologies have overcome some of the shortcomings of traditional chemical analysis methods to a certain extent, they still have shortcomings. For example, some detection methods can only detect a single element or a few elements, and cannot comprehensively analyze multiple elements in a sample at once, resulting in low detection efficiency. Furthermore, some detection equipment is bulky, expensive, and has strict operating environment requirements, limiting its widespread application in practical scenarios.

[0004] The rapid development of modern industry and scientific research has placed higher demands on sample detection technology, requiring a new detection technology that can perform fast, accurate, non-contact detection, analyze multiple elements simultaneously, and be applicable to various sample types and detection environments. Against this backdrop, the LIBS all-optical rapid detection device of the present invention has emerged, aiming to address the shortcomings of existing detection technologies and meet the needs of actual production and scientific research.

[0005] The laser energy emitted by a pulsed laser is unstable, which leads to inconsistent decomposition of the sample during detection. When the energy is too high, the sample will be over-decomposed, generating complex and difficult-to-analyze spectral signals, which seriously interferes with the judgment of the true composition of the sample. When the energy is too low, the sample cannot effectively generate plasma, resulting in weak or even undetectable spectral signals, which greatly reduces the sensitivity and reliability of the detection, affects the accuracy of the test results, and causes large differences in the test results between times. Summary of the Invention

[0006] In order to solve the problems in the background technology, the present invention proposes a LIBS all-optical rapid detection device.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A LIBS all-optical rapid detection device comprises a column, a detection head is mounted on the top of the column, a mounting box is provided on the top of the detection head, and a laser emission module and a signal receiving module are mounted in the mounting box;

[0009] The laser emission module includes a pulse laser arranged in an installation box through a bracket, a focusing lens arranged at the emission port of the pulse laser, and a second prism arranged in the installation box. A circular hole is opened on the bottom surface of the installation box to match the detection head, and a first prism is arranged above the circular hole.

[0010] The signal receiving module includes a reflector and a coupling lens arranged in an installation box, a fiber optic spectrometer lead-out head is installed on the side of the installation box, and the fiber optic spectrometer lead-out head is coplanar with the coupling lens, and a spectrometer is provided on one side of the fiber optic spectrometer lead-out head;

[0011] The installation box is also provided with an intelligent control module, which includes an analysis unit;

[0012] The analysis unit analyzes the detected energy value data, determines the stability of the energy value after eliminating abnormal values, analyzes the optimal collection time point for the energy value data determined to be stable, analyzes the law of the optimal collection time point after obtaining the optimal collection time point, generates a detection signal according to the law, and transmits the detection signal to the execution unit.

[0013] Preferably, a camera is installed in the installation box via a track, a pull rod is provided on one side of the camera, and one end of the pull rod is movably extended out of the installation box, and the lens of the camera is coplanar with the reflector.

[0014] Preferably, a power supply is installed on the side of the installation box, and the power supply is electrically connected to the pulse laser and the camera through wires.

[0015] Preferably, the pulse laser, focusing lens, prism 2 and prism 1 are all coplanar.

[0016] Preferably, the intelligent control module further includes an acquisition unit and an execution unit;

[0017] an acquisition unit, which monitors the energy value of the laser energy beam emitted by the pulsed laser and transmits the detected data to the analysis unit;

[0018] The execution unit receives the detection signal transmitted by the analysis unit and then performs the detection operation according to the optimal collection time point.

[0019] Preferably, the analysis unit determines the stability of the energy value as follows:

[0020] S1: Sort the energy value data detected within the set time period according to the collection time, and calculate the mean A and standard deviation B of the energy value data detected within the set time period. The calculated mean A and standard deviation B are used to establish the fluctuation range of the energy value data detected within the time period. , marking the energy value data detected within the set time period that is not within the fluctuation range as abnormal values;

[0021] S2: The number of outliers and the number of energy value data detected Perform statistics, if the preset comparison threshold , it is determined that the energy value data detected in this time period fluctuates greatly and is inaccurate, and this time period is marked as a fluctuation time period; if the preset comparison threshold , it is determined that the energy value data detected during this time period is stable, the abnormal values ​​summarized in the detected energy value data are eliminated, and then the average value of the remaining energy value data is calculated.

[0022] Preferably, the analysis unit determines the optimal collection time point as follows:

[0023] K1: According to the number of abnormal values ​​in the corresponding time period, the detection energy value data with the least number of abnormal values ​​are screened out and recorded as the stable detection group. The non-abnormal value data in the stable detection group are compared with the preset normal range of energy data. If the non-abnormal value data in the stable detection group are all within the preset normal range of energy data, the laser energy is determined to be stable and the time period is marked as a stable time period; otherwise, the laser energy is determined to be unstable and the time period is marked as an unstable time period.

[0024] K2: Sort the energy value data of the stable detection group in chronological order, plot and connect the coordinate points in a binary coordinate system constructed using the acquisition time and energy value data, calculate the slope of the connecting line, and take the absolute value of the slope; number the slopes of the corresponding connecting lines in chronological order, mark the slope absolute value of the corresponding acquisition time whose slope absolute value is less than the preset fluctuation threshold as a stable slope, and record the number of the stable slope;

[0025] K3: Compare all stable slopes, select the minimum slope, and start from the number b of the minimum slope to the number and Diffusion is performed at the position, and the absolute values ​​of the slopes of the lines corresponding to adjacent acquisition times are compared. Then the difference between the absolute values ​​of the slopes of the two is calculated, and the group with the smallest difference is selected, and the acquisition time corresponding to number b is taken as the stable time point;

[0026] K4: If there are two or more groups with the smallest absolute difference in slope, then the group numbered and Diffusion is performed again at the position, and the group with the smallest difference is screened again. If there are still two or more groups with the smallest difference in the absolute value of the slope, diffusion is performed to both sides again until one group of data remains. The collection time corresponding to the starting point number of this group of data is recorded as the optimal collection time point.

[0027] Preferably, the analysis unit performs the following steps to analyze the regularity of the optimal collection time points:

[0028] M1: retrieve the historical data of the test, mark the best acquisition time point in the historical data, calculate the time difference between the adjacent best acquisition time points and compare them, calculate the mean of the calculated time difference data, and if the time difference data is equal to the time difference mean, If the difference between them is less than or equal to the preset difference threshold, it is determined that there is a regularity in the optimal collection time point, and the interval time is equal to the mean time difference. , after the last best collection time point, the time After that, a detection signal is generated and transmitted to the execution unit, which performs the sample detection operation;

[0029] M2: If the time difference data and the time difference mean If the difference between the two time difference data is greater than the preset difference threshold, it is determined that there is no regularity in the optimal collection time point. The calculated time difference data are arranged in order of size, and a comparative difference threshold is preset. If the difference between the two time difference data is less than the preset comparative difference threshold, the two time difference data are recorded as the same fluctuation time difference. The number of time difference data with the same fluctuation time difference is counted, and the mean of the time difference data with the largest number is taken as the average value. As the regular fluctuation time, after the last best collection time point, the time After that, a detection signal is generated and transmitted to the execution unit, which performs the sample detection operation.

[0030] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0031] 1. The use of the laser emission module facilitates the emission of a high-power density laser beam, which is focused on the sample surface, causing a small amount of material on the sample surface to instantly undergo ablation, dissociation, atomization, and ionization processes to form a plasma. When the atoms and ions in the excited state transition to a low energy level or ground state, they emit light radiation of a specific wavelength. The signal receiving module then collects this light radiation and analyzes it with a spectrometer to determine the chemical composition and content of the sample based on the spectral characteristics. At the same time, when testing the sample, there is no need for direct contact with the sample, which avoids contamination and damage to the sample and eliminates the need for complicated sample preparation. Multiple elements can also be detected simultaneously, whether they are major elements or trace elements in the sample, and the analysis results can be obtained in one measurement. The analysis can be performed in the original position of the sample without removing the sample from its environment, making it suitable for analyzing large samples or samples that are difficult to move.

[0032] 2. The analysis unit analyzes and eliminates abnormal values ​​in the detected energy value data, and then determines the stability of the energy value data by comparing the ratio of the number of abnormal values ​​to the number of detected energy value data and the preset comparison threshold, thereby avoiding the adverse effects of energy instability on the test results; the analysis unit analyzes the stable energy value data, determines the optimal collection time point, improves the quality and accuracy of the test data, and reduces the detection error caused by inappropriate collection time; the analysis unit retrieves the historical test data for analysis, determines the pattern of the optimal collection time point, and generates a detection signal for sample detection operation according to the pattern after how long after the last optimal collection time point. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It shows a schematic structural diagram of a front view provided by an embodiment of the present invention;

[0034] Figure 2 A schematic diagram of a cross-sectional structure from a top view provided by an embodiment of the present invention is shown;

[0035] Figure 3 A schematic diagram of a cross-sectional structure from a side perspective provided by an embodiment of the present invention is shown;

[0036] Figure 4 It shows a schematic structural diagram of a mounting box according to an embodiment of the present invention from a top view;

[0037] Figure 5 A system flow chart provided according to an embodiment of the present invention is shown.

[0038] Legend:

[0039] 1. Column; 2. Detection head; 3. Power supply; 4. Installation box; 5. Fiber optic spectrometer lead; 6. Prism 1; 7. Focusing lens; 8. Pulsed laser; 9. Coupling lens; 10. Camera; 11. Bracket; 12. Circular hole; 13. Prism 2; 14. Reflector. DETAILED DESCRIPTION

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0041] See also Figure 1 - Figure 5 , the present invention provides a technical solution:

[0042] A LIBS all-optical rapid detection device includes a column 1, and a plurality of threaded holes are provided on the bottom surface of the column 1, so that the column 1 can be fixedly mounted on a sample platform (not shown in the figure, for placing samples) by bolts; a detection head 2 is mounted on the top surface of the column 1 for detecting samples; a mounting box 4 is provided on the top of the detection head 2, and a laser emission module and a signal receiving module are arranged in the mounting box 4; the laser emission module is used to emit a high-power density laser beam, and the high-power density laser beam is focused on the sample surface, so that a small amount of material on the sample surface undergoes ablation, dissociation, atomization and ionization processes instantly, forming plasma, and the excited atoms and ions move toward the low When energy levels or ground states transition, light radiation of a specific wavelength is emitted. This light radiation is then collected by a signal receiving module and analyzed by a spectrometer to determine the chemical composition and content of the sample based on the spectral characteristics. At the same time, when testing the sample, there is no need for direct contact with the sample, which avoids contamination and damage to the sample and eliminates the need for complicated sample preparation. It can also detect multiple elements simultaneously, and whether it is the main element or trace element in the sample, the analysis results can be obtained in a single measurement. Furthermore, the analysis can be performed in the original location of the sample without removing the sample from its environment, making it suitable for analyzing large samples or samples that are difficult to move.

[0043] The laser emission module includes a pulse laser 8 arranged in the installation box 4 through a bracket 11, which is used to emit a laser beam, thereby facilitating the decomposition of the sample; a focusing lens 7 is arranged at the emission port of the pulse laser 8, and through the use of the focusing lens 7, the laser beam of the pulse laser 8 is focused on a smaller area on the surface of the sample, so that the energy of the laser beam is concentrated in a small range, thereby increasing the energy density of the laser beam on the surface of the sample, so that sufficient energy can be generated on the surface of the sample to cause the sample to be instantly evaporated and ionized to form a plasma; a prism 2 13 is arranged in the installation box 4, which is used to change the direction of movement of the laser beam, thereby facilitating the laser beam to be irradiated onto the sample; a circular hole 12 is provided on the bottom surface of the installation box 4 to cooperate with the detection head 2, so that the laser beam can flow into the detection head 2, thereby achieving the decomposition of the sample; a prism 1 6 is provided above the circular hole 12, which is used to change the direction of movement of the laser beam, thereby facilitating the laser beam to be irradiated onto the sample;

[0044] The signal receiving module includes a reflector 14 and a coupling lens 9 arranged in the installation box 4. The use of the reflector 14 facilitates the change of the direction of signal transmission, thereby facilitating the spectrometer to receive the signal; the use of the coupling lens 9 collects the plasma light signals emitted from various directions on the sample surface and converges them in a specific direction, so that they can enter the incident slit of the optical fiber or spectrometer, which is beneficial for the subsequent analysis and detection of the spectrum; an optical fiber spectrometer lead-out head 5 is installed on the side of the installation box 4 to facilitate the transmission of the signal to the spectrometer; and the optical fiber spectrometer lead-out head 5 is coplanar with the coupling lens 9, and a spectrometer (not shown in the figure, used to detect the composition of the sample) is provided on one side of the optical fiber spectrometer lead-out head 5.

[0045] In the present invention, a camera 10 is installed in the mounting box 4 through a track, a pull rod is provided on one side of the camera 10, and one end of the pull rod is movable through the outside of the mounting box 4, and the lens of the camera 10 is coplanar with the reflector 14. Through the use of the camera 10, it is convenient to collect the plasma generated by the sample, and multiple collections are required to obtain sufficient spectral data for analysis. At the same time, the stability and repeatability of the signal can also be evaluated through multiple collections.

[0046] In the present invention, a power supply 3 is installed on the side of the installation box 4, and the power supply 3 is electrically connected to the pulse laser 8 and the camera 10 through wires, so as to provide power to the pulse laser 8 and the camera 10.

[0047] In the present invention, the pulse laser 8, the focusing lens 7, the second prism 13 and the first prism 6 are all coplanar, which facilitates the refraction of the laser beam, thereby facilitating the refraction of the laser beam onto the sample and facilitating the decomposition of the sample.

[0048] The installation box is also equipped with an intelligent control module, which includes a collection unit, an analysis unit and an execution unit;

[0049] The energy value of the emitted laser beam is detected by the energy monitoring sensor installed on the pulse laser 8, and the energy value data detected within the set time period are sorted according to the acquisition time, and the mean value A and standard deviation B of the energy value data detected within the set time period are calculated. The fluctuation range of the detected energy value data of the time period is established by the calculated mean value A and standard deviation B. , the energy value data detected within the set time period that is not within the fluctuation range is marked as an abnormal value, and the number of abnormal values ​​is and the number of energy value data detected Perform statistics, if the preset comparison threshold , it is determined that the energy value data detected in this time period fluctuates greatly and is inaccurate, and this time period is marked as a fluctuation time period; if the preset comparison threshold , it is determined that the energy value data detected in this time period is stable, the abnormal values ​​of the detected energy value data are eliminated, and then the average value of the remaining energy value data is calculated;

[0050] According to the number of abnormal values ​​in the corresponding time period, the detection energy value data with the least number of abnormal values ​​are screened out and recorded as the stable detection group, and the non-abnormal value data in the stable detection group are compared with the preset normal range of energy data. If the non-abnormal value data in the stable detection group are all within the preset normal range of energy data, it is determined that the laser energy is stable and the time period is marked as a stable time period; otherwise, it is determined that the laser energy is unstable and the time period is marked as an unstable time period;

[0051] The detection energy value data of the stable detection group are sorted in the order of acquisition time, and the coordinate points are drawn and connected in the binary coordinate system constructed by the acquisition time and energy value data, the slope of the connection line is calculated, and the absolute value of the slope is taken; the slopes of the corresponding connection lines are numbered according to the order of acquisition time, and the absolute value of the slope of the corresponding acquisition time whose absolute value of the slope is less than the preset fluctuation threshold is marked as a stable slope, and the number of the stable slope is recorded; all stable slopes are compared, the minimum slope value is screened out, and the number of the stable slope is recorded, starting from the number b of the minimum slope. and Diffusion is performed at the position, and the absolute values ​​of the slopes of the lines corresponding to the adjacent acquisition times are compared. Then the difference between the absolute values ​​of the slopes of the two is calculated, and the group with the smallest difference is selected, and the acquisition time corresponding to number b is used as the stable time point; if there are two or more groups with the smallest absolute value difference of the slopes, the group with the smallest absolute value difference of the slopes is selected. and Diffusion is performed again at the position, and the group with the smallest difference is screened again. If there are still two or more groups with the smallest difference in the absolute value of the slope, diffusion is performed again to both sides until one group of data remains. The collection time corresponding to the starting point number of this group of data is recorded as the optimal collection time point;

[0052] Retrieve the historical data of the test, mark the best collection time point in the historical data, and then calculate the time difference between the adjacent best collection time points and compare them. Calculate the mean of the calculated time difference data. If the time difference data is equal to the time difference mean, If the difference between them is less than or equal to the preset difference threshold, it is determined that there is a regularity in the optimal collection time point, and the interval time is equal to the mean time difference. , after the last best collection time point, the time After that, a detection signal is generated and transmitted to the execution unit, which performs the sample detection operation;

[0053] If the time difference data and the time difference mean If the difference between the two time difference data is greater than the preset difference threshold, it is determined that there is no regularity in the optimal collection time point. The calculated time difference data are arranged in order of size, and a comparative difference threshold is preset. If the difference between the two time difference data is less than the preset comparative difference threshold, the two time difference data are recorded as the same fluctuation time difference. The number of time difference data with the same fluctuation time difference is counted, and the mean of the time difference data with the largest number is taken as the average value. As the regular fluctuation time, after the last best collection time point, the time After that, a detection signal is generated and transmitted to the execution unit, which performs the sample detection operation.

[0054] Working principle: When the present invention is used, the sample is first placed on the sample platform, and then the detection head 2 is adjusted to align the detection head 2 with the sample. Then the pulse laser 8 is turned on. The laser beam emitted by the pulse laser 8 passes through the focusing lens 7, is refracted onto the second prism 13, is refracted onto the first prism 6, and finally passes through the circular hole 12 to enter the detection head 2. Finally, it is irradiated on the sample through the detection head 2, causing the sample to decompose into plasma.

[0055] Then the detection head 2 decomposes the sample into a plasma light radiation signal to the reflector 14, so that the light radiation signal is transmitted to the coupling lens 9, and then the light radiation signal enters the spectrometer through the optical fiber spectrometer lead-out head 5, and the composition of the sample is analyzed by the spectrometer;

[0056] Among them, by using the camera 10, the plasma generated by the sample can be collected multiple times to obtain sufficient spectral data for analysis, and the stability and repeatability of the signal can also be evaluated through multiple collections.

[0057] The above description of the embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A LIBS all-optical rapid detection device, comprising a column (1), characterized in that: A detection head (2) is installed on the top surface of the column (1), a mounting box (4) is provided on the top of the detection head (2), and a laser emission module and a signal receiving module are provided in the mounting box (4); The laser emission module comprises a pulse laser (8) arranged in an installation box (4) via a bracket (11), a focusing lens (7) arranged at an emission port of the pulse laser (8), and a second prism (13) arranged in the installation box (4); a circular hole (12) cooperating with the detection head (2) is provided on the bottom surface of the installation box (4), and a first prism (6) is provided above the circular hole (12); The signal receiving module includes a reflector (14) and a coupling lens (9) arranged in an installation box (4); a fiber optic spectrometer lead-out head (5) is installed on a side of the installation box (4); the fiber optic spectrometer lead-out head (5) and the coupling lens (9) are coplanar; and a spectrometer is provided on one side of the fiber optic spectrometer lead-out head (5); The installation box is also provided with an intelligent control module, which includes an analysis unit; The analysis unit analyzes the detected energy value data, determines the stability of the energy value after eliminating abnormal values, analyzes the optimal collection time point for the energy value data that is determined to be stable, analyzes the regularity of the optimal collection time point after obtaining the optimal collection time point, generates a detection signal based on the regularity, and transmits the detection signal to the execution unit; The analysis unit determines the optimal collection time point as follows: K1: According to the number of abnormal values ​​in the corresponding time period, the detection energy value data with the least number of abnormal values ​​are screened out and recorded as the stable detection group. The non-abnormal value data in the stable detection group are compared with the preset normal range of energy data. If the non-abnormal value data in the stable detection group are all within the preset normal range of energy data, the laser energy is determined to be stable and the time period is marked as a stable time period; otherwise, the laser energy is determined to be unstable and the time period is marked as an unstable time period. K2: Sort the energy value data of the stable detection group in chronological order, plot and connect the coordinate points in a binary coordinate system constructed using the acquisition time and energy value data, calculate the slope of the connecting line, and take the absolute value of the slope; number the slopes of the corresponding connecting lines in chronological order, mark the slope absolute value of the corresponding acquisition time whose slope absolute value is less than the preset fluctuation threshold as a stable slope, and record the number of the stable slope; K3: Compare all stable slopes, filter out the minimum slope, and number the one with the minimum slope. As the starting point, go to and Diffusion is performed at the position, and the absolute values ​​of the slopes of the lines corresponding to the adjacent acquisition times are compared. Then the difference between the absolute values ​​of the slopes of the two lines is calculated, and the group with the smallest difference is selected and numbered. The corresponding acquisition time is the stable time point; K4: If there are two or more groups with the smallest absolute difference in slope, then the group numbered and Diffusion is performed again at the position, and the group with the smallest difference is screened again. If there are still two or more groups with the smallest difference in the absolute value of the slope, diffusion is performed again to both sides until one group of data remains. The collection time corresponding to the starting point number of this group of data is recorded as the optimal collection time point; The analysis steps for the analysis unit to analyze the rules of the optimal collection time points are as follows: M1: retrieve the historical data of the test, mark the best acquisition time point in the historical data, calculate the time difference between the adjacent best acquisition time points and compare them, calculate the mean of the calculated time difference data, and if the time difference data is equal to the time difference mean, If the difference between them is less than or equal to the preset difference threshold, it is determined that there is a regularity in the optimal collection time point, and the interval time is equal to the mean time difference. , after the last best collection time point, the time After that, a detection signal is generated and transmitted to the execution unit, which performs the sample detection operation; M2: If the time difference data and the time difference mean If the difference between the two time difference data is greater than the preset difference threshold, it is determined that there is no regularity in the optimal collection time point. The calculated time difference data are arranged in order of size, and a comparative difference threshold is preset. If the difference between the two time difference data is less than the preset comparative difference threshold, the two time difference data are recorded as the same fluctuation time difference. The number of time difference data with the same fluctuation time difference is counted, and the mean of the time difference data with the largest number is taken as the average value. As the regular fluctuation time, after the last best collection time point, the time After that, a detection signal is generated and transmitted to the execution unit, which performs the sample detection operation.

2. A LIBS all-optical rapid detection device according to claim 1, characterized in that: A camera (10) is installed in the installation box (4) via a track. A pull rod is provided on one side of the camera (10), and one end of the pull rod is movable through the outside of the installation box (4). The lens of the camera (10) is coplanar with the reflector (14).

3. A LIBS all-optical rapid detection device according to claim 2, characterized in that: A power supply (3) is installed on the side of the installation box (4), and the power supply (3) is electrically connected to the pulse laser (8) and the camera (10) via wires.

4. A LIBS all-optical rapid detection device according to claim 3, characterized in that: The pulse laser (8), the focusing lens (7), the second prism (13) and the first prism (6) are all coplanar.

5. The LIBS all-optical rapid detection device according to claim 1, characterized in that: The intelligent control module also includes an acquisition unit and an execution unit; an acquisition unit for monitoring the energy value of the laser energy beam emitted by the pulse laser (8) and transmitting the detected data to the analysis unit; The execution unit receives the detection signal transmitted by the analysis unit and then performs the detection operation according to the optimal collection time point.

6. The LIBS all-optical rapid detection device according to claim 5, characterized in that: The analysis unit determines the stability of the energy value as follows: S1: Sort the energy value data detected within the set time period according to the collection time, and calculate the mean value of the energy value data detected within the set time period and standard deviation , to calculate the mean and standard deviation Set the fluctuation range of the detection energy value data for this time period , marking the energy value data detected within the set time period that is not within the fluctuation range as abnormal values; S2: The number of outliers and the number of energy value data detected Perform statistics, if the preset comparison threshold , it is determined that the energy value data detected in this time period fluctuates greatly and is inaccurate, and this time period is marked as a fluctuation time period; if the preset comparison threshold , it is determined that the energy value data detected during this time period is stable, the abnormal values ​​summarized in the detected energy value data are eliminated, and then the average value of the remaining energy value data is calculated.

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